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People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 65+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About The Role
From ID verification automation to facial recognition for account onboarding, our team builds and deploys the systems that require advanced computer vision approaches. As we continue to rapidly expand our customer base globally, the commercial impact of the team also grows. Every step the team automates is a step less that needs to be handled manually, enabling Revolut to scale globally.
We're looking for a Computer Vision Data Scientist to help us better automate these compliance-related processes by developing and producing both online and offline algorithms. If you're skilled in software engineering, machine learning, computer vision, and applied maths, possess a passion for building solutions, and have a strong aptitude for data technologies and advanced computer vision models, then this is your gig!
What You’ll Be Doing
- Working alongside a team of computer vision scientists and engineers
- Owning the projects you develop while benefiting from the support of the wider Computer Vision team
- Architecting and creating new computer vision models to automate our compliance and retail processes
- Working on our Python and PyTorch/TensorFlow stack (we're hosted on GCP and our data scientists and engineers rely heavily on tools like Jupyter and Docker for machine learning solutions)
- Evidence of strong mathematical and statistics knowledge
- Knowledge of Python 3 with experience in computational libraries, OOP, TDD, multi-processing, etc.
- Working knowledge of SQL (joins, CTEs, functions, etc.)
- Hands-on experience with DL libs (PyTorch/TensorFlow/Keras, ONNX/OpenVino)
- Hands-on experience with CV libs (openCV, pillow, torchvision)
- Working knowledge of version control, model deployment, developer environments, CI/CD, and containerisation
- Working knowledge and experience of cloud-based infrastructure
- Familiarity with HuggingFace, wandb.ai, and paperswithcode
- Strong experience with additional programming languages (e.g. Java)
- Experience in system design and distributed computing
- Up-to-date knowledge of ViT, Diffusion, GPT-4, and RetNets
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
- Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
- Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
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